Big data analysis for smart farming : Results of TO2 project in theme food security
Kempenaar, C. ; Lokhorst, C. ; Bleumer, E.J.B. ; Veerkamp, R.F. ; Been, Th. ; Evert, F.K. van; Boogaardt, M.J. ; Ge, L. ; Wolfert, J. ; Verdouw, C.N. ; Bekkum, Michael van; Feldbrugge, L. ; Verhoosel, Jack P.C. ; Waaij, B.D. ; Persie, M. van; Noorbergen, H. - \ 2016
Wageningen : Wageningen University & Research (Wageningen Plant Research report ) - 82
animal production - milk production - farming - data analysis - data collection - information technology - models - dierlijke productie - melkproductie - landbouw bedrijven - gegevensanalyse - gegevens verzamelen - informatietechnologie - modellen
In this report we describe results of a one-year TO2 institutes project on the development of big data technologies within the milk production chain. The goal of this project is to ‘create’ an integration platform for big data analysis for smart farming and to develop a show case. This includes both technical (hard/software) and organizational integration (developing business ecosystem) and combining and linking of data and models. DLO, NLR and TNO worked together in 2015 towards the realization of an IT data infrastructure that makes it possible to solve to connect data from different sources and models in an effective and safe way, ontology problems, specific analysis tools develop, opportunities and risks to identify and assess the acquired knowledge and experience and present it in a smart farming show case, from 'grass to glass‘.
Improving geo-information reliability by centralized change detection management
Gorte, B. ; Nardinocchi, C. ; Thonon, I. ; Addink, E. ; Beck, R. ; Persie, M. van; Kramer, H. - \ 2006
In: ISPRS Commission VII mid-term symposium 2006 "Remote sensing: from pixels to processes". - Enschede : ITC - p. 602 - 607.
A consortium called Mutatis Mutandis (MutMut), consisting of three Universities and eight producers and users of geo-information, was established in the Netherlands to streamline change detection on a national level. After preliminary investigations concerning market feasibility, three actions are being taken by MutMut: (1) construction of a centralised, web based repository for collection and exchange of changes detected by various actors, (2) design and implementation of an image based, automated change detection methodology, and (3) widening the scope of the project in a European context. This paper focusses on the second action. Objects in the database are used to formulate hypotheses, for which newer imagery may or may not provide evidence. In the latter case, older imagery is considered as well. If evidence for the hypothesis could still be found there, a possible change is detected. The paper shows preliminary results of a first implementation of this methodology.